Are you curious about how to leverage the WizardLM-30B Uncensored model? Look no further! This guide will walk you through the various quantized versions of the model and how to make the best use of them, ensuring your AI project is a success.
Understanding the Model and Data Sets
The WizardLM-30B Uncensored model is designed to provide a robust foundation for various AI applications. Think of it as a gourmet restaurant where each dish represents a different quantized model option. Here are the key datasets:
- ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
- kaiokendev/SuperCOT-dataset
- neulab/conala
- yahma/alpaca-cleaned
- QingyiSi/Alpaca-CoT
- timdettmers/guanaco-33b
- JosephusCheung/GuanacoDataset
These datasets can all contribute to the model’s capabilities, like the various ingredients in each menu item of our hypothetical restaurant.
Using the Quantized Versions
The WizardLM-30B Uncensored model has several quantized versions available for use. Here’s a handy table outlining the options:
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q2_K.gguf) | Q2_K | 12.1 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ3_XS.gguf) | IQ3_XS | 13.4 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ3_S.gguf) | IQ3_S | 14.2 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q3_K_S.gguf) | Q3_K_S | 14.2 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ3_M.gguf) | IQ3_M | 15.0 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q3_K_M.gguf) | Q3_K_M | 15.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q3_K_L.gguf) | Q3_K_L | 17.4 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.IQ4_XS.gguf) | IQ4_XS | 17.6 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q4_K_S.gguf) | Q4_K_S | 18.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q4_K_M.gguf) | Q4_K_M | 19.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q5_K_S.gguf) | Q5_K_S | 22.5 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q5_K_M.gguf) | Q5_K_M | 23.1 | |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q6_K.gguf) | Q6_K | 26.8 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b-GGUF/resolve/main/WizardLM-30B-Uncensored-Guanaco-SuperCOT-30b.Q8_0.gguf) | Q8_0 | 34.7 | fast, best quality |This table serves as your menu guide for selecting the best option depending on your needs. Consider the trade-offs between size and quality – just like how you might choose between a healthy salad or a rich dessert.
Troubleshooting
If you encounter any issues while using the WizardLM-30B Uncensored model, here are some troubleshooting steps to consider:
- Ensure that your environment meets the necessary dependencies for the WizardLM model.
- Check your data files for integrity; corrupted files can disrupt model performance.
- Consult TheBloke’s README for detailed instructions on utilizing GGUF files.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that advancements like the WizardLM model are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.